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<a href="_one_versus_one_classifier_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">//===========================================================================</span><span class="comment"></span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> * </span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> *</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * \brief       One-versus-one Classifier.</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * </span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * </span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> *</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * \author      T. Glasmachers</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * \date        2012</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> *</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> *</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * </span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * </span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * </span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * </span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> *</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment"> */</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment">//===========================================================================</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span> </div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="preprocessor">#ifndef SHARK_MODELS_ONEVERSUSONE_H</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="preprocessor">#define SHARK_MODELS_ONEVERSUSONE_H</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span> </div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span> </div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="preprocessor">#include &lt;<a class="code" href="_abstract_model_8h.html">shark/Models/AbstractModel.h</a>&gt;</span></div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span> </div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span> </div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span> </div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="comment"></span> </div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="comment">/// \brief One-versus-one Classifier.</span></div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="comment">///</span></div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="comment">/// The one-versus-one classifier combines a number of binary</span></div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="comment">/// classifiers to form a multi-class ensemble classifier.</span></div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span><span class="comment">/// In the one-versus-one model, there exists one binary</span></div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="comment">/// classifier for each pair of classes. The predictions of</span></div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="comment">/// all binary machines are combined with a simple voting</span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="comment">/// scheme.</span></div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span><span class="comment">///</span></div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span><span class="comment">/// The classifier can be extended to handle more classes on</span></div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span><span class="comment">/// the fly, without a need for re-training the existing</span></div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span><span class="comment">/// binary models.</span></div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span><span class="comment">///</span></div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span><span class="comment">///</span></div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span><span class="comment">/// \ingroup models</span></div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span><span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">class</span> InputType, <span class="keyword">class</span> VectorType = RealVector&gt;</div>
<div class="foldopen" id="foldopen00063" data-start="{" data-end="};">
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html">   63</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_one_versus_one_classifier.html" title="One-versus-one Classifier.">OneVersusOneClassifier</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel</a>&lt;InputType, unsigned int, VectorType&gt;</div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>{</div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel&lt;InputType, unsigned int, VectorType&gt;</a> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">base_type</a>;</div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel&lt;InputType, unsigned int, VectorType&gt;</a> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">binary_classifier_type</a>;</div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;InputType, unsigned int&gt;</a> <a class="code hl_class" href="classshark_1_1_labeled_data.html">dataset_type</a>;</div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#a62a08462043b510e68dac7ae646156b2">   69</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">base_type::BatchInputType</a> <a class="code hl_typedef" href="classshark_1_1_one_versus_one_classifier.html#a62a08462043b510e68dac7ae646156b2">BatchInputType</a>;</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#ac67af1a218f9e7e3fef40649d402a449">   70</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">base_type::BatchOutputType</a> <a class="code hl_typedef" href="classshark_1_1_one_versus_one_classifier.html#ac67af1a218f9e7e3fef40649d402a449">BatchOutputType</a>;</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>    <span class="comment"></span></div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span><span class="comment">    /// \brief Constructor</span></div>
<div class="foldopen" id="foldopen00073" data-start="{" data-end="}">
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#a62a70003c61f4b1e0ac8ed341b06dfc8">   73</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#a62a70003c61f4b1e0ac8ed341b06dfc8" title="Constructor.">OneVersusOneClassifier</a>()</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>    : <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b" title="number of classes to be distinguished">m_classes</a>(1)</div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>    { }</div>
</div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span><span class="comment"></span> </div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span><span class="comment">    /// \brief From INameable: return the class name.</span></div>
<div class="foldopen" id="foldopen00078" data-start="{" data-end="}">
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#a291c3ee295209c764e3f37e221f62101">   78</a></span><span class="comment"></span>    std::string <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#a291c3ee295209c764e3f37e221f62101" title="From INameable: return the class name.">name</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;OneVersusOneClassifier&quot;</span>; }</div>
</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span> </div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span><span class="comment"></span> </div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span><span class="comment">    /// get internal parameters of the model</span></div>
<div class="foldopen" id="foldopen00083" data-start="{" data-end="}">
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#ab391eb00c83476a3b2de06d717849510">   83</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#ab391eb00c83476a3b2de06d717849510" title="get internal parameters of the model">parameterVector</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        std::size_t total = <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#a95d7dffe9fe78c144291411e97c160ff" title="return the size of the parameter vector">numberOfParameters</a>();</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        <a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> ret(total);</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>        std::size_t used = 0;</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>        <span class="keywordflow">for</span> (std::size_t i=0; i&lt;<a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>.size(); i++){</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>            std::size_t n = <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>[i]-&gt;numberOfParameters();</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>            noalias(subrange(ret, used, used + n)) = <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>[i]-&gt;parameterVector();</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>            used += n;</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>        }</div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>        <span class="keywordflow">return</span> ret;</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>    }</div>
</div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span><span class="comment"></span> </div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span><span class="comment">    /// set internal parameters of the model</span></div>
<div class="foldopen" id="foldopen00096" data-start="{" data-end="}">
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#a41b5206801f56ac6f046978b8c9f4483">   96</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#a41b5206801f56ac6f046978b8c9f4483" title="set internal parameters of the model">setParameterVector</a>(<a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <span class="keyword">const</span>&amp; newParameters) {</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>(<a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#a95d7dffe9fe78c144291411e97c160ff" title="return the size of the parameter vector">numberOfParameters</a>() == newParameters.size(),<span class="stringliteral">&quot;Invalid number of parameters&quot;</span>);</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>        std::size_t used = 0;</div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>        <span class="keywordflow">for</span> (std::size_t i=0; i&lt;<a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>.size(); i++){</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>            std::size_t n = <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>[i]-&gt;numberOfParameters();</div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>            <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>[i]-&gt;setParameterVector(subrange(newParameters, used, used + n));</div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>            used += n;</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>        }</div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>    }</div>
</div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span><span class="comment"></span> </div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span><span class="comment">    /// return the size of the parameter vector</span></div>
<div class="foldopen" id="foldopen00107" data-start="{" data-end="}">
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#a95d7dffe9fe78c144291411e97c160ff">  107</a></span><span class="comment"></span>    <span class="keyword">virtual</span> std::size_t <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#a95d7dffe9fe78c144291411e97c160ff" title="return the size of the parameter vector">numberOfParameters</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        std::size_t ret = 0;</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>        <span class="keywordflow">for</span> (std::size_t i=0; i&lt;<a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>.size(); i++) </div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>            ret += <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>[i]-&gt;<a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#a95d7dffe9fe78c144291411e97c160ff" title="return the size of the parameter vector">numberOfParameters</a>();</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>        <span class="keywordflow">return</span> ret;</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>    }</div>
</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span><span class="comment"></span> </div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span><span class="comment">    /// return number of classes</span></div>
<div class="foldopen" id="foldopen00115" data-start="{" data-end="}">
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#a3326ce74f8401f42dc8031dec9bbdc56">  115</a></span><span class="comment"></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#a3326ce74f8401f42dc8031dec9bbdc56" title="return number of classes">numberOfClasses</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b" title="number of classes to be distinguished">m_classes</a>; }</div>
</div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>    </div>
<div class="foldopen" id="foldopen00118" data-start="{" data-end="}">
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#a526c89d58bd792fb51b0eeb43bd241b6">  118</a></span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#a526c89d58bd792fb51b0eeb43bd241b6" title="Returns the expected shape of the input.">inputShape</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>.empty()? <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a>() : <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>[0]-&gt;inputShape();</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>    }</div>
</div>
<div class="foldopen" id="foldopen00121" data-start="{" data-end="}">
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#ab95b7c7a39b4f87ee47a5a4a48256525">  121</a></span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#ab95b7c7a39b4f87ee47a5a4a48256525" title="Returns the shape of the output.">outputShape</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        <span class="keywordflow">return</span> <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a>({<a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b" title="number of classes to be distinguished">m_classes</a>});</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>    }</div>
</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span><span class="comment"></span> </div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span><span class="comment">    /// \brief Obtain binary classifier.</span></div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span><span class="comment">    /// \par</span></div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span><span class="comment">    /// The method returns the binary classifier used to distinguish</span></div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span><span class="comment">    /// class_one from class_zero. The convention class_one &gt; class_zero</span></div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span><span class="comment">    /// is used (the inverse classifier can be constructed from this one</span></div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span><span class="comment">    /// by flipping the labels). The binary classifier outputs a value</span></div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span><span class="comment">    /// of 1 for class_one and a value of zero for class_zero.</span></div>
<div class="foldopen" id="foldopen00133" data-start="{" data-end="}">
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#aa14ccce9b2bb1004e0d3165ca3c24094">  133</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">binary_classifier_type</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#aa14ccce9b2bb1004e0d3165ca3c24094" title="Obtain binary classifier.">binary</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> class_one, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> class_zero)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(class_zero &lt; class_one);</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(class_one &lt; <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b" title="number of classes to be distinguished">m_classes</a>);</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = class_one * (class_zero - 1) / 2 + class_zero;</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        <span class="keywordflow">return</span> *<a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>[index];</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>    }</div>
</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span><span class="comment"></span> </div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span><span class="comment">    /// \brief Add binary classifiers for one more class to the model.</span></div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span><span class="comment">    /// The parameter binmodels holds a vector of n binary classifiers,</span></div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span><span class="comment">    /// where n is the current number of classes. The i-th model is this</span></div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span><span class="comment">    /// list is supposed to output a value of 1 for class n and a value</span></div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span><span class="comment">    /// of 0 for class i when faced with the binary classification problem</span></div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span><span class="comment">    /// of separating class i from class n. Afterwards the model can</span></div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span><span class="comment">    /// predict the n+1 classes {0, ..., n}.</span></div>
<div class="foldopen" id="foldopen00148" data-start="{" data-end="}">
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#a5ded346e1b9354472fdfe9eb35a6023f">  148</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#a5ded346e1b9354472fdfe9eb35a6023f" title="Add binary classifiers for one more class to the model.">addClass</a>(std::vector&lt;binary_classifier_type*&gt; <span class="keyword">const</span>&amp; binmodels)</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>    {</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>(binmodels.size() == <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b" title="number of classes to be distinguished">m_classes</a>, <span class="stringliteral">&quot;[OneVersusOneClassifier::addClass] wrong number of binary models&quot;</span>);</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>        <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b" title="number of classes to be distinguished">m_classes</a>++;</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>        <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>.insert(<a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>.end(), binmodels.begin(), binmodels.end());</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>    }</div>
</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span> </div>
<div class="foldopen" id="foldopen00155" data-start="{" data-end="}">
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#a24d1e801c037be39351c83f7c102bdc2">  155</a></span>    boost::shared_ptr&lt;State&gt; <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#a24d1e801c037be39351c83f7c102bdc2" title="Creates an internal state of the model.">createState</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        <span class="keywordflow">return</span> boost::shared_ptr&lt;State&gt;(<span class="keyword">new</span> <a class="code hl_struct" href="structshark_1_1_empty_state.html" title="Default State of an Object which does not need a State.">EmptyState</a>());</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>    }</div>
</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span> </div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>    <span class="keyword">using </span><a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">base_type::eval</a>;<span class="comment"></span></div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span><span class="comment">    /// One-versus-one prediction: evaluate all binary classifiers,</span></div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span><span class="comment">    /// collect their votes, and return the class with most votes.</span></div>
<div class="foldopen" id="foldopen00162" data-start="{" data-end="}">
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#a114c9975ec451ef779656f6554d1af24">  162</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#a114c9975ec451ef779656f6554d1af24">eval</a>(</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>        <a class="code hl_typedef" href="classshark_1_1_one_versus_one_classifier.html#a62a08462043b510e68dac7ae646156b2">BatchInputType</a> <span class="keyword">const</span> &amp; patterns, <a class="code hl_typedef" href="classshark_1_1_one_versus_one_classifier.html#ac67af1a218f9e7e3fef40649d402a449">BatchOutputType</a>&amp; output, <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a>&amp; state</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>    )<span class="keyword">const</span>{</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>        std::size_t numPatterns = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(patterns);</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        output.resize(numPatterns);</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>        output.clear();</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>        </div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>        <span class="comment">//matrix storing the class histogram for all patterns</span></div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>        UIntMatrix votes(numPatterns,<a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b" title="number of classes to be distinguished">m_classes</a>);</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>        votes.clear();</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>        </div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>        <span class="comment">//stores the votes of a classifier distinguishing between classes c and e</span></div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>        <span class="comment">//for all patterns</span></div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>        UIntVector bin(numPatterns);</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>        <span class="comment">//accumulate histograms</span></div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span>        <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0, c=0; c&lt;<a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b" title="number of classes to be distinguished">m_classes</a>; c++)</div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span>        {</div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>            <span class="keywordflow">for</span> (std::size_t e=0; e&lt;c; e++, i++)</div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>            {</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>                <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>[i]-&gt;eval(patterns,bin);</div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>                <span class="keywordflow">for</span>(std::size_t p = 0; p != numPatterns; ++p){</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>                    <span class="keywordflow">if</span> (bin[p] == 0) </div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>                        votes(p,e)++; </div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span>                    <span class="keywordflow">else</span> </div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>                        votes(p,c)++;</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>                }</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>                </div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>            }</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span>        }</div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>        <span class="comment">//find the maximum class for ever pattern</span></div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>        <span class="keywordflow">for</span>(std::size_t p = 0; p != numPatterns; ++p){</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>            <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c=1; c &lt; <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b" title="number of classes to be distinguished">m_classes</a>; c++){</div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>                <span class="keywordflow">if</span> (votes(p,c) &gt; votes(p,output(p))) </div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>                    output(p) = c;</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>            }</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>        }</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>    }</div>
</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span><span class="comment"></span> </div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span><span class="comment">    /// from ISerializable, reads a model from an archive</span></div>
<div class="foldopen" id="foldopen00201" data-start="{" data-end="}">
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#ad4eedddd8b965056551409b8525c427e">  201</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#ad4eedddd8b965056551409b8525c427e" title="from ISerializable, reads a model from an archive">read</a>(<a class="code hl_typedef" href="namespaceshark.html#ada68729491840669e47c8ad42282424f" title="Type of an archive to read from.">InArchive</a>&amp; archive)</div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>    {</div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>        archive &amp; <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b" title="number of classes to be distinguished">m_classes</a>;</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>        archive &amp; <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>;</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>    }</div>
</div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span><span class="comment"></span> </div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span><span class="comment">    /// from ISerializable, writes a model to an archive</span></div>
<div class="foldopen" id="foldopen00208" data-start="{" data-end="}">
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#ad3bd0e335f681d47795214af7fcee3f7">  208</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_one_versus_one_classifier.html#ad3bd0e335f681d47795214af7fcee3f7" title="from ISerializable, writes a model to an archive">write</a>(<a class="code hl_typedef" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524" title="Type of an archive to write to.">OutArchive</a>&amp; archive)<span class="keyword"> const</span></div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span><span class="keyword">    </span>{</div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span>        archive &amp; <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b" title="number of classes to be distinguished">m_classes</a>;</div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>        <span class="comment">//TODO: O.K. might be leaking memory!!!</span></div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>        archive &amp; <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>;</div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span>    }</div>
</div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span> </div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span><span class="keyword">protected</span>:</div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b">  216</a></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#ad7d03594b8da31afe6326ce79514010b" title="number of classes to be distinguished">m_classes</a>;                          <span class="comment">///&lt; number of classes to be distinguished</span></div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno"><a class="line" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99">  217</a></span>    std::vector&lt;binary_classifier_type*&gt; <a class="code hl_variable" href="classshark_1_1_one_versus_one_classifier.html#a11a5bb9db5a4686f51db466b1a5f4c99" title="list of binary classifiers">m_binary</a>;        <span class="comment">///&lt; list of binary classifiers</span></div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>};</div>
</div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span> </div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span> </div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>}</div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span><span class="preprocessor">#endif</span></div>
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